emily_WNV

Loading report..

Highlight Samples

Regex mode off

    Rename Samples

    Click here for bulk input.

    Paste two columns of a tab-delimited table here (eg. from Excel).

    First column should be the old name, second column the new name.

    Regex mode off

      Show / Hide Samples

      Regex mode off

        Explain with AI

        Configure AI settings to get explanations of plots and data in this report.

        Keys entered here will be stored in your browser's local storage. See the docs.


        Anonymize samples off

        Export Plots

        px
        px
        X

        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in multiqc_data when this report was generated.


        Choose Plots

        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411
        Settings are automatically saved. You can also save named configurations below.

        Save Settings

        You can save the toolbox settings for this report to the browser or as a file.


        Load Settings

        Choose a saved report profile from the browser or load from a file:

          Load from File

        Tool Citations

        Please remember to cite the tools that you use in your analysis.

        To help with this, you can download publication details of the tools mentioned in this report:

        About MultiQC

        This report was generated using MultiQC, version 1.30

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        emily_WNV

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2025-10-15, 16:01 MDT based on data in:
        • /nfs/home/rsbg/01_fastq/04_emily_ebel_bulk_midgut_data_eg_RNAseq/RVFVLifeStageRNASeq/01_Fastp/DeDupFastqHTMLs
        • /nfs/home/rsbg/01_fastq/04_emily_ebel_bulk_midgut_data_eg_RNAseq/RVFVLifeStageRNASeq/01_Fastp/DeDupFastqJSONs

        General Statistics

        Showing 18/18 rows and 5/7 columns.
        Sample Name% Duplication% > Q30Mb Q30 basesReads After FilteringGC content% PF% Adapter
        22_WNV_A_S1_L003_R1_001
        52.0%
        93.2%
        6397.7Mb
        121.9M
        51.0%
        98.8%
        54.8%
        22_WNV_B_S2_L003_R1_001
        51.7%
        93.3%
        6960.3Mb
        129.3M
        49.9%
        98.8%
        53.9%
        22_WNV_C_S3_L003_R1_001
        57.8%
        92.6%
        7000.2Mb
        146.0M
        50.2%
        98.8%
        45.3%
        22_mock_A_S4_L003_R1_001
        49.1%
        93.4%
        2847.6Mb
        51.2M
        52.0%
        98.9%
        60.8%
        22_mock_B_S5_L003_R1_001
        57.0%
        92.2%
        3742.7Mb
        79.4M
        52.7%
        98.7%
        45.1%
        22_mock_C_S6_L003_R1_001
        62.0%
        89.8%
        1370.5Mb
        34.6M
        57.7%
        98.6%
        32.3%
        26_WNV_A_S7_L003_R1_001
        56.1%
        93.6%
        6675.6Mb
        126.5M
        51.6%
        98.9%
        42.4%
        26_WNV_B_S8_L003_R1_001
        63.9%
        89.0%
        1752.7Mb
        46.7M
        56.5%
        98.6%
        34.8%
        26_WNV_C_S9_L003_R1_001
        55.0%
        93.5%
        3090.9Mb
        59.4M
        51.7%
        99.1%
        47.6%
        26_mock_A_S10_L003_R1_001
        59.6%
        92.7%
        4434.8Mb
        95.7M
        51.5%
        98.9%
        47.4%
        26_mock_B_S11_L003_R1_001
        64.9%
        90.4%
        2809.1Mb
        72.8M
        54.0%
        98.7%
        38.7%
        26_mock_C_S12_L003_R1_001
        61.4%
        87.0%
        1268.3Mb
        34.8M
        58.3%
        98.5%
        30.8%
        30_WNV_A_S13_L003_R1_001
        56.9%
        91.8%
        5677.0Mb
        121.7M
        51.4%
        98.7%
        51.5%
        30_WNV_B_S14_L003_R1_001
        52.4%
        93.2%
        2728.5Mb
        52.1M
        51.2%
        99.0%
        57.1%
        30_WNV_C_S15_L003_R1_001
        57.6%
        92.5%
        3867.2Mb
        82.9M
        50.7%
        99.0%
        54.3%
        30_mock_A_S16_L003_R1_001
        60.3%
        91.2%
        1987.1Mb
        46.8M
        51.8%
        98.8%
        45.4%
        30_mock_B_S17_L003_R1_001
        63.3%
        90.4%
        2842.1Mb
        73.9M
        51.9%
        98.8%
        48.9%
        30_mock_C_S18_L003_R1_001
        60.9%
        92.2%
        5915.1Mb
        136.8M
        49.6%
        98.9%
        50.3%

        fastp

        Version: 0.24.1

        All-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...).URL: https://github.com/OpenGene/fastpDOI: 10.1093/bioinformatics/bty560

        Fastp goes through fastq files in a folder and perform a series of quality control and filtering. Quality control and reporting are displayed both before and after filtering, allowing for a clear depiction of the consequences of the filtering process. Notably, the latter can be conducted on a variety of parameters including quality scores, length, as well as the presence of adapters, polyG, or polyX tailing.

        Filtered Reads

        Filtering statistics of sampled reads.

        Created with MultiQC

        Insert Sizes

        Insert size estimation of sampled reads.

        Created with MultiQC

        Sequence Quality

        Average sequencing quality over each base of all reads.

        Created with MultiQC

        GC Content

        Average GC content over each base of all reads.

        Created with MultiQC

        N content

        Average N content over each base of all reads.

        Created with MultiQC


        Software Versions

        Software Versions lists versions of software tools extracted from file contents.

        SoftwareVersion
        fastp0.24.1